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111.
Knowledge-Driven and Data-Driven Fuzzy Models for Predictive Mineral Potential Mapping 总被引:5,自引:0,他引:5
In this paper, we describe new fuzzy models for predictive mineral potential mapping: (1) a knowledge-driven fuzzy model that uses a logistic membership function for deriving fuzzy membership values of input evidential maps and (2) a data-driven model, which uses a piecewise linear function based on quantified spatial associations between a set of evidential evidence features and a set of known mineral deposits for deriving fuzzy membership values of input evidential maps. We also describe a graphical defuzzification procedure for the interpretation of output fuzzy favorability maps. The models are demonstrated for mapping base metal deposit potential in an area in the south-central part of the Aravalli metallogenic province in the state of Rajasthan, western India. The data-driven and knowledge-driven models described in this paper predict potentially mineralized zones, which occupy less than 10% of the study area and contain at least 83% of the model and validation base metal deposits. A cross-validation of the favorability map derived from using one of the models with the favorability map derived from using the other model indicates a remarkable similarity in their results. Both models therefore are useful for predicting favorable zones to guide further exploration work. 相似文献
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This paper focuses on the attribute weight issue and advocates use of modi?able attribute weights in terrain‐based environmental analysis and classi?cation. A question was asked: ‘How much will the result of a terrain‐based environmental analysis be affected if the weights of used terrain attributes are changed?’ The literature on landform classi?cation and the fuzzy k‐means method was reviewed in particular to help clarify the background and importance of this weight assignment issue. As an example, the effects of modifying attribute weights were evaluated for fuzzy k‐means landform classi?cation in a case study area. A total of 102 classi?cations were compared with each other and with a soil map, and comparison methods were speci?cally designed to evaluate the differences between these classi?cations. The results show that fuzzy k‐means landform classi?cation is sensitive to weight adjustments of adopted terrain attributes. The sensitivity is particularly high when the attribute weights started to be tuned away from the standard (i.e. uniform) weight of one. Better matching between landform classi?cation and a soil map may be produced when attribute weights are tuned. In all, we advocate the widespread adoption of an exploratory attitude in assigning attribute weights for environmental analysis and classi?cation. Copyright © 2006 John Wiley & Sons, Ltd. 相似文献
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用模糊ARTMAP算法对CBERS-2数据进行分类 总被引:3,自引:0,他引:3
用模糊ARTMAP(fuzzy adaptive resonance theorymap)神经网络算法对CBERS-2数据进行了分类实践。首先介绍了模糊ARTMAP神经网络的算法原理和具体训练分类过程;然后用2004年9月新疆石河子地区的影像数据进行土地利用分类试验,并将分类结果与基于统计的最大似然法(MLC)、反向传播神经网络(BP)的分类结果作比较,总分类精度比MLC和BP算法分别提高9.9%和4.6%。结果表明,模糊ARTMAP对试验区CBERS-2影像上的裸地识别能力很强,对高分辨率的CBERS-2影像可获得很好的分类结果。 相似文献
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A realistic assessment of the total uncertainty budget of Global Positioning System (GPS) observations and its adequate mathematical treatment is a basic requirement for all analysis and interpretation of GPS-derived point positions, in particular GPS heights, and their respective changes. This implies not only the random variability but also the remaining systematic errors. At present in geodesy, the main focus is on stochastic approaches in which errors are modeled by means of random variables. Here, an alternative approach based on interval mathematics is presented. It allows us to model and to quantify the impact of remaining systematic errors in GPS carrier-phase observations on the final results using deterministic error bands. In this paper, emphasis is given to the derivation of the observation intervals based on influence parameters and to the study of the complex linear transfer of this type of uncertainty to estimated point positions yielding zonotopes. From the presented simulation studies of GPS baselines, it turns out that the uncertainty due to remaining systematic effects dominates the total uncertainty budget for baselines longer than 200 km. 相似文献
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本文以DSR模型为框架建立了湖南洛塔屋檐洞水库生态安全评价指标体系,并引入缀块丰富度密度、聚集度、景观均匀性指数等景观生态学指数,采用层次分析和模糊评判有机结合的综合方法,从生态安全状态、压力、响应三个指标体系角度出发,具体分析了屋檐洞库区自然、社会、经济三方面的生态安全问题,对库区生态安全进行综合评价,评判出屋檐洞水库库区系统生态安全属于安全级别,并根据评价中间结果找出生态安全响应是洛塔中寨水电站建设的潜在生态危险因素,提出建立合理科学的生态补偿机制以及库区生态安全预警系统等对策. 相似文献
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基于组件式GIS的唐山市区环境地质评价 总被引:2,自引:0,他引:2
唐山市区地质环境条件复杂,构造发育,多种地质灾害频繁发生。因此,进行唐山市区环境地质评价具有重要现实意义。本文在综合分析唐山市区地质环境状况的基础上,基于组件式GIS工具MO,利用模糊综合评判方法,对唐山市区进行了环境地质评价,将评价结果划分为质量不同的4类区域,为城市的发展及规划提供依据。 相似文献